Managing your code is like managing anything else.
To take back control of your code, you need to measure everything you can!

This talk is about my experience of wresting an unruly codebase into a well behaved one.
Well, better behaved, at least...

In this talk I'll cover the following, and how they affect your Python application:

• Complexity
  and how it differs from ease
• Risk
  not all code is equally important
• Static analysis
  don't fear the pylint, whilst typing + mypy can save the day
• Testing
  why & when to write tests (hypothesis is awesome)
• Formally design your internal data format
  whilst it seems obvious, internal data formats are often left unchecked
• Profiling
  a good programmer with a profiler is better than one without

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